Where In India
Simplifying travel discovery through community & speed. The antidote to content-heavy travel blogs.
The Challenge
The inspiration was born out of personal frustration. While planning a trip to Pondicherry, I realized the current state of travel research is inefficient. Existing directories are bloated with blog-style content, requiring excessive scrolling just to find a location.
I identified a gap for travelers—students, solo explorers, and weekenders—who didn't want fluff. They wanted trustworthy guidance, visual clarity, and immediate utility.
The Solution
I built Where In India to be the antidote to "scroll fatigue." The core concept is a central hub listing curated places with direct Google Maps integrations, acknowledging that modern navigation relies on maps, not text.
In an era where travel content is increasingly AI-generated, I pivoted to a community-built model. I sourced authentic recommendations from locals to ensure originality and trust.
The Process
Technical execution focused on performance using Astro for a lightweight architecture. The hardest challenge was solving the "content problem" without AI. I executed a heavy two-week outreach campaign on Reddit, engaging with local communities across 5-6 cities.
I also implemented Ahrefs and Google Search Console early to optimize for organic search, ensuring the project wasn't just built, but seen.
Key Features
Curated City Pages
Clean listings of places to visit without the clutter of traditional blogs.
Maps Integration
One-click navigation via Google Maps for every single destination.
Community Contributions
A "Submit Your Story" feature allowing locals to share hidden gems.
Saved Lists
Tools for users to plan, organize, and bucket-list their future trips.
Fast Navigation
A UI designed specifically for quick decision-making and speed.
Feedback System
Integrated loop for users to validate data and suggest improvements.